After upgrading livekit-agents from 1.5.8 → 1.6.4, our job processes started getting killed by the worker’s memory monitor with: job process exceeded memory limit, killing it This started appearing immediately after the upgrade was deployed (zero occurrences before it) and is recurring across ever…

Hi, no, there are no specific known issues. The two most recent ones which come to mind are: https://community.livekit.io/t/upgrading-python-livekit-agents-to-1-5-6-causing-memory-issues/976/17 which was not-reproducible and resolved by moving platforms, and https://community.livekit.io/t/memory-le…

Hi Darryn, Thanks, I found that reproducing the steps will be difficult. Are you expecting some specific logs? What we found, we didn’t push only the upgrade causing that problem. That means some part of the update mightn’t directly align with our codebase. we will digdown deeper and get back to …

As I’m sure you can appreciate, these kind of memory issues are tough to pin down and root cause. Ideally, knowing the exact version where the issue was introduced would help, as would knowing the exact setup. I haven’t seen any other reports similar to this since the two I provided above (either …

Yeah i am also facing same issue of memory increase just by increasing the versions as i mentioned here [image] Cloud turn detector failed + late STT final warnings after enabling LiveKit inference audio turn detection/vad Getting Started Sorry about cofusion …

I think memory usage would be fixed soon? as mentioned here Cloud turn detector timeout and late EOU detection warnings after switching to LiveKit Inference VAD/turn detector opened 10:46AM - 21 Jun 26 UTC (UTC) …

[image] Kaushal Shah: Cloud turn detector timeout and late EOU detection warnings after switching to LiveKit Inference VAD/turn detector · Issue #6177 · livekit/agents · GitHub Thanks for sharing @Kaushal_Shah , from that PR: I believe this is going to be addressed by #6082 . On Linux/forkse…

I am no python expert, but have been actively using this library. I am still confused why a process for a single voice ai call can take up to 500MB of memory. I would love to have a technical detail on what consumes so much memory for this voice ai functions. I know there are audio buffers, etc. but…

Great question — the honest answer is that almost none of it is audio. Audio frames are tiny (a 10ms frame of 48kHz mono PCM is ~1KB), and as you said they’re consumed in realtime, so buffers account for single-digit MB at most. The memory is mostly the stack the call runs on, not the call itself. H…

@Sagor_Sarker , Until it lands, the per-job figure is inflated by RSS counting the parent’s copy-on-write pages (as described above), not a per-turn leak, so the interim is just to raise the ceiling to fit the over-counted number: AgentServer(..., job_memory_warn_mb=1400, job_memory_limit_mb=2048)

Thanks @Muhammad_Usman_Bashir , We will update accordingly.

After upgrading to 1.6.4 from 1.5.8, getting: "job process exceeded memory limit, killing it"

Agents

Kaushal_Shah (Kaushal Shah) July 1, 2026, 9:24am 5

Yeah i am also facing same issue of memory increase just by increasing the versions as i mentioned here

The memory usage has increased more than 1gb for version 1.6.4 now as i can see warn logs again. so on every version upgrade the memory is increased, despite no changes in code

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After upgrading to 1.6.4 from 1.5.8, getting: "job process exceeded memory limit, killing it"

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